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Deteksi Intrusi dan Anomali Jaringan Menggunakan Machine Learning / Deep…
Deteksi Intrusi dan Anomali Jaringan Menggunakan Machine Learning / Deep Learning
Isolation Forest Murni
Ekstraksi Fitur Laten (Deep Autoencorder)
Optimasi dan Seleksi Fitur iForest
Model Hibrida AE + iForest
Deteksi Intrusi dan Anomali Jaringan Menggunakan Machine Learning / Deep Learning
Isolation Forest Murni
Deteksi Anomali Trafik Jaringan dan Aktivitas Pengguna Menggunakan Isolation Forest
(Hadi et al., 2025)
WebTraffic Anomaly Detection Using Isolation Forest
(Chua et al., 2024)
Automation in Cybersecurity Using Machine Learning: A Case Study on Anomaly Detection with Isolation Forest
( Lubis et al., 2025)
Ekstraksi Fitur Laten (Deep Autoencorder)
Deep Autoencoder-Based Integrated Model for Anomaly Detection and Feature Extraction
(Lim et al., 2023)
Autoencoder-based Unsupervised Intrusion Detection using Multi-Scale Convolutional Recurrent Networks
(Singh dan Jang-Jaccard, 2022)
Network Intrusion Detection System for DDoS Attacks in ICS Using Deep Autoencoders
(Ortega-Fernandez et al., 2022)
Optimasi dan Seleksi Fitur iForest
Hybrid Approach Based on Autoencoder and Isolation Forest for Detecting Unknown Attacks in Network Traffic
(Kuanyishbai et al., 2026)
Anomaly Based Network Intrusion Detection Using Autoencoders
(Alsaroah, 2026)
Anomaly Detection of Denial-of-Service Network Traffic Attacks using Autoencoders and Isolation Forest
(Hussain et al., 2026)
Anomaly Detection using Combination of Autoencoder and Isolation Forest
(Almansoori & Telek, 2023)
An Intrusion Detection System for the Internet of Things Based on Unsupervised Techniques (UTEN-IDS)
(Wang et al., 2022)
Metode Deteksi Serangan Siber Menggunakan Algoritma Isolation Forest Berbasis Fitur Laten Deep Autoencoder
(Penelitian Skripsi Nia Amelia, 2026)
Model Hibrida AE + iForest
An Optimized Isolation Forest Based Intrusion Detection System for Heterogeneous and Streaming Data in IIoT
(Elsaid & Binbusayyis, 2024)
An Improved X-means and Isolation Forest Based Methodology for Network Traffic Anomaly Detection
(Feng et al., 2022)
Feature Selection Using a Combination of Ant Colony Optimization and Random Forest Algorithms Applied To Isolation Forest Based Intrusion Detection System
(Lifandali et al., 2023)